metamedian:用于对报告中位数的研究进行元分析的 R 软件包

IF 5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Research Synthesis Methods Pub Date : 2023-12-10 DOI:10.1002/jrsm.1686
Sean McGrath, XiaoFei Zhao, Omer Ozturk, Stephan Katzenschlager, Russell Steele, Andrea Benedetti
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引用次数: 0

摘要

在对连续性结果进行总体数据荟萃分析时,研究人员经常会遇到报告结果样本中位数的主要研究。然而,标准的荟萃分析方法通常不能直接应用于这种情况。近年来,将报告样本中位数的主要研究纳入荟萃分析的统计方法有了长足的发展,但目前还没有实现这些方法的综合软件工具。在本文中,我们介绍了 metamedian R 软件包,这是一款免费开源软件工具,用于对报告样本中位数的主要研究进行荟萃分析。我们总结了该软件的主要功能,并通过涉及 COVID-19 严重病程风险因素的真实数据示例来说明其应用。
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metamedian: An R package for meta-analyzing studies reporting medians

When performing an aggregate data meta-analysis of a continuous outcome, researchers often come across primary studies that report the sample median of the outcome. However, standard meta-analytic methods typically cannot be directly applied in this setting. In recent years, there has been substantial development in statistical methods to incorporate primary studies reporting sample medians in meta-analysis, yet there are currently no comprehensive software tools implementing these methods. In this paper, we present the metamedian R package, a freely available and open-source software tool for meta-analyzing primary studies that report sample medians. We summarize the main features of the software and illustrate its application through real data examples involving risk factors for a severe course of COVID-19.

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来源期刊
Research Synthesis Methods
Research Synthesis Methods MATHEMATICAL & COMPUTATIONAL BIOLOGYMULTID-MULTIDISCIPLINARY SCIENCES
CiteScore
16.90
自引率
3.10%
发文量
75
期刊介绍: Research Synthesis Methods is a reputable, peer-reviewed journal that focuses on the development and dissemination of methods for conducting systematic research synthesis. Our aim is to advance the knowledge and application of research synthesis methods across various disciplines. Our journal provides a platform for the exchange of ideas and knowledge related to designing, conducting, analyzing, interpreting, reporting, and applying research synthesis. While research synthesis is commonly practiced in the health and social sciences, our journal also welcomes contributions from other fields to enrich the methodologies employed in research synthesis across scientific disciplines. By bridging different disciplines, we aim to foster collaboration and cross-fertilization of ideas, ultimately enhancing the quality and effectiveness of research synthesis methods. Whether you are a researcher, practitioner, or stakeholder involved in research synthesis, our journal strives to offer valuable insights and practical guidance for your work.
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